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Metaverse is expected to emerge as a new paradigm for the next-generationInternet, providing fully immersive and personalised experiences to socialize,work, and play in self-sustaining and hyper-spatio-temporal virtual world(s).The advancements in different technologies like augmented reality, virtualreality, extended reality (XR), artificial intelligence (AI), and 5G/6Gcommunication will be the key enablers behind the realization of AI-XRmetaverse applications. While AI itself has many potential applications in theaforementioned technologies (e.g., avatar generation, network optimization,etc.), ensuring the security of AI in critical applications like AI-XRmetaverse applications is profoundly crucial to avoid undesirable actions thatcould undermine users' privacy and safety, consequently putting their lives indanger. To this end, we attempt to analyze the security, privacy, andtrustworthiness aspects associated with the use of various AI techniques inAI-XR metaverse applications. Specifically, we discuss numerous such challengesand present a taxonomy of potential solutions that could be leveraged todevelop secure, private, robust, and trustworthy AI-XR applications. Tohighlight the real implications of AI-associated adversarial threats, wedesigned a metaverse-specific case study and analyzed it through theadversarial lens. Finally, we elaborate upon various open issues that requirefurther research interest from the community.

Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses